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- Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?A set of observations recorded at a time period like 3- yearly, 5 yearly etc. is taken in the method of ______________. a. Time Series b. Correlation c. Regression d. Standard deviation
- 7 Consider Figure 29.21. The two tail-ends have equal area. How many standard deviations from the mean must A and B be placed if the tail-ends are (a) 10% (b) 5% (©) 1% of the total area? N(x) A B * Figure 29.21 Graph for Question 7.10 of 11 DNA markers of known lengths were separated on an agarose gel and visualised. The figure below is the standard plot of measurements made from a digital image of this gel. A line of best fit has been determined (illustrated with a dotted line) and the equation used to describe this trendline is shown. 3.5 3. 2.5 y = -0.003x+ 3.7876 R = 0.9964 1.5 0.5 of size marker in base pair s 2.As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below. Average taings, mo = e Scatter plot of Sales vs Earnings (IV) (V) (VI) A. (I), (II), and (VI) B. (II), (III), and (V) C. (III), (IV), and (V) D. (II), (IV) and (V) 40 . 50 Average Annual Sales 60 Which THREE of the following assumptions are inferable or discernible from the scatter plot? (1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province. Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated. Whether the assumption of normality of the independent variable and the dependent variable has been met or violated. The absence or presence of outliers in the data set. The direction of the relationship between the independent variable and the dependent variable. The significance of the relationship between the independent variable and the…
- Item#3 A chemical engineer desiring to study the evaporation rate of water from brine evaporation beds obtained data on the number of inches of evaporation in each of 55 July days spread over 4 years. The data are given in the following stem and leaf plot, which shows that the smallest data value was o.02 inch, and the largest o.56 inch. Stem Leaf 0.0 2, 6 0.1 1, 4 1, 1, 1, 3, 3, 4, 5, 5, 5, 6, 9 0, 0, 2, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 6, 6, 7, 8, 9 0, 1, 2, 2, 2, 3, 4, 4, 4, 5, 5, 5, 7, 8, 8, 8, 9, 9 2, 5, 6 0.2 0.3 0.4 0.5 Find the: a) sample mean; b) sample median; c) sample standard deviation of these data. d) Do the data appear to be approximately normal? e) What percentage of data values are within 1 standard deviation of the mean?Consider the following time series data. Week 1 2 3 4 5 6 Value 19 13 15 11 16 14 Using the average of all the historical data as a forecast for the next period, compute the following. (Round your answers to two decimal places.) (a) mean absolute error MAE 2 (b) mean squared error MSE - x (c) mean absolute percentage error MAPE- (d) What is the forecast for week 77Fitting a linear trend to 36 monthly data points (January 2000 = 1, February 2000 =2, March 2000 = 3, etc.) produced the following tables. Coefficients Standard Error t Statistic p-value Intercept 222.379 3.301438 0.002221 67.35824 9.009066 3.17471 2.83776 0.00751 df SS MS F p-value Regression 1 315319.3 315319.3 8.052885 0.007607 Residual 34 1331306 39156.07 Total 35 1646626 The projected trend value for January 2003 is
- Table 1: Bivariate Correlations for the following variables: income, number of siblings, education, age, white, black and gender (1)rincome 1.00 (2)sibs (3)edu (4)age (5)white (6)black (1) (8)male Mean -0.06 0.30 0.16 0.12 (7)female -0.21 -0.12 0.21 13.91 Standard Dev. 5.63 (2) 1.00 -0.21 0.09 -0.27 0.27 0.02 -0.02 3.505 2.927 (3) 1.00 0.05 0.12 -0.12 0.02 -0.02 13.39 2.93 (4) 1.00 0.12 -0.12 0.03 47.12 (5) -0.03 -0.07 17.50 1.00 -1.00 0.07 .84 .37 (6) 1.00 .07 -.07 .16 .37 (7) 1.00 -1.00 i. There is a negative correlation between family size and income. ii. Income is positively correlated with education. iii. Income is positively correlated with age. iv. Income is positively correlated with white race. v. The black race is negatively correlated with income. vi. Income is negatively correlated with females. vii. Income is positively correlated with males. .56 .50 (8) 1.00 .44 .50 Note: rincome is respondent's income, sibs is respondent's number of siblings, age represents respondent's…What are the most likely values of r for each plot of data shown below? Figure 1 *AT THE TOP r = -0.5 r = 0 r= 0.5 r = 1 ? Answer: Figure 2 *AT THE Bottom r = -0.5 r = 0 r= 0.5 r = 1 ? Answer:A random sample of 150 individuals (males and females) was surveyed, and the individuals were asked to indicate their year incomes. The results of the survey are shown below. Income Category Category 1: $20,000 up to $40,000 Category 2: $40,000 up to $60,000 Category 3: $60,000 up to $80,000 Edit Format Table Test at a = .05 to determine if the yearly income is independent of the gender. (CSLO 1,6,7) 12pt Male 10 35 15 V Paragraph BI U A Female 30 15 45 > 2 T² :